AI Engineer
Role summary
Tremco CPG, a leader in waterproofing and roofing solutions, seeks an AI Engineer to drive innovation and efficiency. This role involves leading end-to-end project delivery, from requirements gathering and system architecture to production deployment and iteration. The AI Engineer will design and build internal software, data pipelines, and integrations to replace manual processes, translating business needs into technical specifications. Responsibilities include developing robust systems, operationalizing ML models (LLMs, vision, classical ML), and creating durable data foundations. The ideal candidate will have proficiency in backend languages like Python, strong SQL skills, API integration experience, and solid software engineering fundamentals. Cloud exposure and experience with data pipeline orchestration tools are preferred.
Job Description
*BUILD YOUR FUTURE WHILE YOU HELP BUILD A BETTER WORLD!*
Tremco CPG is an aggressive, growth-oriented company with revenues of over $1 billion. We are a world leader in solving complex waterproofing and roofing problems for our commercial, institutional, and industrial customers.
If you’re looking for a place to build a career, with great benefits, advancement opportunities, technology, people and a commitment to a sustainable future, you’ve found it with us.
Overview
We are currently looking for an
AI Engineer.
This position will be responsible for:
- Leading end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration
- Designing and building company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone
- Translating ambiguous business needs into clear functional and technical specifications
- Selecting appropriate tools, technologies, and architectures to deliver scalable and maintainable solutions
- Developing robust, efficient, and reliable systems, ensuring accuracy and correctness through validation and testing
- Driving execution and delivery, shipping improvements quickly and iterating based on feedback and results
Essential Duties & Responsibilities
- Replace manual workflows with production software
○ Translate informal processes into clear data models, services, and user-facing tools.
○ Build internal web apps, APIs, and automation services that users adopt.
- Build data pipelines and system integrations
○ Ingest data from files, forms, SaaS tools, and internal databases.
○ Implement ETL/ELT pipelines with validation, lineage, and monitoring.
○ Integrate systems via REST APIs, webhooks, queues, and scheduled jobs.
- Create durable data foundations
○ Design relational schemas, enforce constraints, manage migrations.
○ Build “single source of truth” datasets for analytics + operations.
- Operationalize ML
○ Use pre-trained models (LLMs / vision / classical ML) for classification, extraction, routing, forecasting, etc.
○ When needed: fine-tune/train on company data, evaluate properly, deploy with monitoring.
Education
Bachelor's degree from four or 5-year college or university
- Computer Science, Computer Engineering, Data Science, AI/ML
EXPERIENCE (Minimum Qualification)
- Graduating Spring/Summer 2026 or recent graduate in Computer Science, Computer Engineering, Data Science, AI/ML.
- Proficiency in at least one backend language: e.g. Python, TypeScript/Node.js, or C#/.NET
- Ability to build automation/services that handle data, integrate APIs, and run reliably in production.
- Strong SQL and relational fundamentals (schema design basics, joins/aggregations, constraints, query debugging; Postgres/MySQL/SQL Server).
- Ability to build and consume REST APIs (HTTP basics, auth patterns, pagination, error handling).
- Solid software engineering fundamentals:
- Data structures + OOP
- Readable, maintainable code
- Debugging and refactoring
- Git workflow experience (branches, pull requests, code review habits).
- Clear technical communication: can write clean documentation
To increase your chances, include at least one project that demonstrates end-to-end ownership:
problem → design → implementation → deployment → iteration or improvements.
Certificates, Licenses, Registrations
- OHSA 10 preferred
- Engineer-in-Training Certification preferred
- Licensed/Registered Architect preferred
Other Qualifications
- Framework experience: FastAPI / Flask / Django, ASP.NET Core, NestJS / Express
- Data pipeline orchestration tooling: Airflow / Dagster / Prefect
- Docker experience and basic CI/CD (GitHub Actions, Azure DevOps, or similar)
- Cloud exposure (AWS / Azure / GCP): managed databases, object storage, message queues
- Building SaaS integrations using REST APIs / webhooks
WORK LOCATION:
Hybrid
PHYSICAL DEMANDS:
Incumbent must be able to stand, walk, sit, use hands, reach, talk, hear, and occasionally lift up to 10 lbs.
The salary will be commensurate with the applicant’s relevant experience.
Benefits
Tremco offers a variety of benefits to its employees, including not limited to: health insurance, paid holidays, paid time off, 401(k) with company match, Company Pension Plan, and continuing education.
*Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.*
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